Partial Least Squares Regression (PLSR) Model for Predicting Camelina sativa Seed Water Content from NIR Spectra (1354-1527 nm)

PLSR Model for Seed Water Content Prediction This upload contains a calibrated Partial Least Squares Regression (PLSR) model file (Zeolite_water_prediction_1354-1527.vpl) used to predict the water content percentage of Camelina sativa seeds from near-infrared (NIR) reflectance spectra. Model Details: Instrument: Model developed using spectra acquired with a MicroNIR™ 1700ES spectrometer (VIAVI). Spectral Range: Optimized for the 1354–1527 nm region. Software: Model created and saved using MicroNIR™ Pro v3.2 software. It is only compatible with this software for predictions. Calibration: The model was calibrated using gravimetric water content data from seeds desiccated over Zeolite 4Å molecular sieves. Spectra were pre-processed with a first derivative. Usage Instructions: This .vpl file is not a standalone program. It is a model file that must be loaded into the MicroNIR™ Pro v3.2 software (or compatible version). Within the software, use the "Batch Prediction" function and select this model to predict the water content of new NIR spectra acquired under similar conditions.